【摘要】 指出了传统的欺诈风险分析模型存在的问题,提出了一种基于粗集神经网络的欺诈风险分析方法.详细叙述了粗集神经网络的基本原理及基于粗集神经网络的欺诈风险分析方法,并给出了一个基于粗集神经网络的信用卡欺诈的分析实例。实验结果表明,该方法应用于欺诈风险的分析中是有效的,为欺诈风险的分析和预警提供了一条新的研究思路和方法。更多还原

【Abstract】 This paper states the basic concept of deception and analyses the causes that give rise to the risk of deception. The methods of identification, analyzing and estimation of deception risks are discussed. The shortcomings of the traditional models for evaluating deception are also discussed. A method based on the rough neural network for analyzing deception risks is suggested and an example is given to validate the algorithm. The results show the feasibility and validity of the method. The research work furnishes a basis for further study of applying rough neural network to the analysis and prediction of deception risks.更多还原